Package: rangeModelMetadata 0.1.4

rangeModelMetadata: Provides Templates for Metadata Files Associated with Species Range Models

Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Merow et al. (2019) <doi:10.1111/geb.12993> describe the standards in more detail. Note that users who prefer to use the R package 'ecospat' can obtain it from <https://github.com/ecospat/ecospat>.

Authors:Cory Merow [aut, cre], Brian Maitner [aut], Hannah Owens [aut], Jamie Kass [aut], Brian Enquist [aut], Rob Guralnik [aut], Damaris Zurrell [aut], Christian Koenig [aut]

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rangeModelMetadata.pdf |rangeModelMetadata.html
rangeModelMetadata/json (API)

# Install 'rangeModelMetadata' in R:
install.packages('rangeModelMetadata', repos = c('https://cmerow.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cmerow/rangemodelmetadata/issues

On CRAN:

ecological-metadata-languageecological-modellingecological-modelsecologyspecies-distribution-modellingspecies-distributions

19 exports 6 stars 2.21 score 158 dependencies 4 dependents 16 scripts 1.8k downloads

Last updated 2 months agofrom:b5564589e3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winOKSep 16 2024
R-4.5-linuxOKSep 16 2024
R-4.4-winOKSep 16 2024
R-4.4-macOKSep 16 2024
R-4.3-winOKSep 16 2024
R-4.3-macOKSep 16 2024

Exports:.rmmLeftJustifycleanForCSVcsvToRMMrmmAutofillBIENrmmAutofillEnvironmentrmmAutofillPackageCitationrmmAutofillspoccrmmCheckEmptyrmmCheckFinalizermmCheckMissingNamesrmmCheckNamermmCheckShinyrmmCheckValuermmCleanNULLsrmmDataDictionaryrmmFamiliesrmmSuggestrmmTemplatermmToCSV

Dependencies:apeaskpassassertthatbackportsbase64encBIENbitbit64blobbroombslibcachemcallrcellrangerclassclassIntclicliprcodetoolscolorspacecommonmarkconflictedcowplotcpp11crayoncrosstalkcrulcurldata.tableDBIdbplyrdigestdoParalleldplyrdtplyre1071evaluatefansifarverfasterizefastmapfontawesomeforcatsforeachfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshtmlwidgetshttpcodehttpuvhttridsisobanditeratorsjquerylibjsonlitekableExtraKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclelubridatemagrittrmapsMASSMatrixmemoisemgcvmimemodelrmunsellnlmeoaiopensslpillarpkgconfigplyrpngprettyunitsprocessxprogresspromisesproxypspurrrR6raggrappdirsrasterRColorBrewerRcppRcppArmadilloreadrreadxlrebirdrematchrematch2reprexrgbifridigbiorlangrmarkdownRPostgreSQLrstudioapirvertnetrvests2sassscalesselectrsfshinysourcetoolsspspoccstringistringrsvglitesyssystemfontsterratextshapingtibbletidyrtidyselecttidyversetimechangetinytextriebeardtzdbunitsurltoolsutf8uuidvctrsviridisLitevroomwhiskerwithrwkxfunxml2xtableyaml

An overview of making rangeModelMetadata objects

Rendered fromrmm_vignette.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2023-10-16
Started: 2017-11-30

rangeModelMetadata Function Directory

Rendered fromrmm_directory.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2023-10-16
Started: 2017-12-15

rangeModelMetaData with Multiple Species

Rendered fromrmm_Multispecies.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2023-10-16
Started: 2018-09-17